Dana A. Roark
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 10%
- Signal Processing top 10%
- Co-authors
- Alice J. O’TooleHervé AbdiSusan E. BarrettP. Jonathon PhillipsJoseph DunlopSamuel WeimerMelanie J. SpenceSarah Elizabeth Barrett
- Topics
- Face Recognition and Perception (12 papers)Face recognition and analysis (11 papers)Evolutionary Psychology and Human Behavior (3 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- United States
In The Last Decade
Dana A. Roark
11 papers receiving 611 citations
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 492
- Computer Vision and Pattern Recognition 314
- Experimental and Cognitive Psychology 240
- Social Psychology 88
- Signal Processing 52
Countries citing papers authored by Dana A. Roark
This map shows the geographic impact of Dana A. Roark's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dana A. Roark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana A. Roark more than expected).
Fields of papers citing papers by Dana A. Roark
This network shows the impact of papers produced by Dana A. Roark. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dana A. Roark. The network helps show where Dana A. Roark may publish in the future.
Co-authorship network of co-authors of Dana A. Roark
This figure shows the co-authorship network connecting the top 25 collaborators of Dana A. Roark. A scholar is included among the top collaborators of Dana A. Roark based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dana A. Roark. Dana A. Roark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 100 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 36 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 9 | |
| 9 | 65 | |
| 10 | Memory for moving faces: Psychological and Neural Perspectives on the Role of Motion in Face Recognition | 15 |
| 11 | Recognition of moving faces: a psychological and neural perspective | 4 |
| 12 | 369 |
About Dana A. Roark
Dana A. Roark is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 12 papers that have together received 624 indexed citations. Recurring topics across this work include Face Recognition and Perception (12 papers), Face recognition and analysis (11 papers) and Evolutionary Psychology and Human Behavior (3 papers). The work is most often cited by research in Cognitive Neuroscience (492 citations), Experimental and Cognitive Psychology (240 citations) and Computer Vision and Pattern Recognition (314 citations). Dana A. Roark has collaborated with scholars based in United States. Frequent co-authors include Alice J. O’Toole, Hervé Abdi, Susan E. Barrett, P. Jonathon Phillips, Joseph Dunlop, Samuel Weimer, Melanie J. Spence, Sarah Elizabeth Barrett, Annie S. Wu and R. E. Franklin. Their work appears in journals such as Trends in Cognitive Sciences, Vision Research and Journal of Vision.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.